Agentic AI Bootcamp
Build autonomous agents that reason, plan, and execute workflows. Master the orchestration of multi-agent systems for enterprise automation.
Curriculum
Detailed Syllabus
Agentic Foundations
Understanding LLM reasoning patterns. Zero-shot vs Few-shot. Tools and Function Calling.
Workflow Orchestration
Implementing LangGraph and CrewAI for multi-agent systems that solve complex tasks.
Memory & State
Managing conversation state and long-term memory in autonomous agents.
Scaling & Safety
Prompt injection security. Guardrails. Monitoring agent performance in production.
Admission Protocol
Pre-requisite: Solid Python knowledge. Familiarity with APIs.
Academic: BIT, CSIT, Engineers or Experienced Devs.
Commitment: 12-18 hours/week.
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Practitioner Training
Our bootcamps are high-intensity. We don't teach theory; we build practitioners ready for global production environments.
Candidate Admission Form
Applying for: Agentic AI Bootcamp